Resting state oscillatory brain dynamics in Parkinson’s disease: An MEG study

Bosboom, J.L.W.; Stoffers, Diederick; Stam, Cornelis J.; Dijk, Bob W. van; Verbunt, J.P.A.; Berendse, Henk W.; Wolters, Erik Ch.

doi:10.1016/j.clinph.2006.06.720

Cited by 176 publications

(202 citation statements)

References 65 publications

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“…1) is in line with a previous report of excess power in all frequency bands (Tanaka et al, 2000) and at variance with other reports of excess power only in specific frequency bands (Bosboom et al, 2006;Neufeld et al, 1994;Salenius et al, 2002;Stanzione et al, 1996;Stoffers et al, 2007). The general increase in power is confirmed if individual electrodes are analysed ( Fig.…”

Section: Powersupporting

confidence: 92%

“…But interpretation of these studies is made difficult by the differences in task performance between studies, and mainly by the fact that we still lack sufficient knowledge of the anomalies of the resting EEG state in PD. Over the years, a few studies have looked at the EEG power spectra in PD patients, showing excess power in either all frequency bands (Tanaka et al, 2000), or only in specific frequency bands (Bosboom et al, 2006;Salenius et al, 2002;Stanzione et al, 1996;Stoffers et al, 2007), or a slowing of the occipital background rhythm (Soikkeli et al, 1991). The localization of the cortical generators at the source of this power excess has not yet been investigated in detail, except in one pioneering MEG work (Moran et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

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Enhanced frontal low and high frequency power and synchronization in the resting EEG of parkinsonian patients

et al. 2008

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(2008). Enhanced frontal low and high frequency power and synchronization in the resting EEG of parkinsonian patients. NeuroImage, 41(3):985-997. Postprint available at: http://www.zora.uzh.ch Enhanced frontal low and high frequency power and synchronization in the resting EEG of parkinsonian patients Abstract Oscillatory and coherent EEG activity is increasingly recognized as a fundamental hallmark of cortical integrative functions. We aimed to study deviations from the norm of different resting EEG parameters in Parkinson's disease (PD) patients. We compared spectral parameters of the resting EEG of PD patients (n=24, median age 67 years) to those of healthy controls (n=34, median age 62 years). On average, the patient group exhibited higher spectral power over the frequency range of 2-100 Hz, and the dominant peak was shifted towards lower frequencies. Maximal differences appeared in the 6-9 Hz theta band in all electrodes. Frontal electrodes contributed most to this difference in the 4-6 Hz theta, 12-18 Hz beta and 30-45 Hz gamma bands. On an individual basis, the combination of six spectral power band parameters discriminated between patient and control groups and 72% of all subjects were classified correctly. Using LORETA source analysis, the generators of this power difference were localized to fronto-insulo-temporal cortical areas in the theta and beta bands, and to interhemispheric frontal (supplementary motor area, SMA) and cingulate areas in the 30-45 Hz gamma band. We calculated spectral coherence between electrode pairs in a frontal, central and parietal region of interest (ROI). In the frontal ROI, coherence was enhanced significantly in the patient group in the theta, high beta and gamma bands. In the parietal ROI, patients showed lower coherence around 10 Hz. We demonstrate a deviation from the norm of different resting EEG parameters in PD patients. This evidence can be integrated in the context of a pathophysiological chain reaction initiated in the substantia nigra and resulting in a cortical aberrant dynamics rooted in enhanced dysrhythmic thalamocortical interactions.Enhanced frontal low and high frequency power and synchronization in the resting EEG of parkinsonian patients Oscillatory and coherent EEG activity is increasingly recognized as a fundamental hallmark of cortical integrative functions. We aimed to study deviations from the norm of different resting EEG parameters in Parkinson's disease (PD) patients. We compared spectral parameters of the resting EEG of PD patients (n = 24, median age 67 years) to those of healthy controls (n = 34, median age 62 years).On average, the patient group exhibited higher spectral power over the frequency range of 2-100 Hz, and the dominant peak was shifted towards lower frequencies. Maximal differences appeared in the 6-9 Hz theta band in all electrodes. Frontal electrodes contributed most to this difference in the 4-6 Hz theta, 12-18 Hz beta and 30-45 Hz gamma bands. On an individual basis, the combination of six spectral power band parameters discr...

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Section: Powersupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Enhanced frontal low and high frequency power and synchronization in the resting EEG of parkinsonian patients

et al. 2008

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“…Further, a number of studies concluded that the most common abnormality of EEG in PD patients was the generalized slowing of brain activity. For instance, Serizawa et al (2008) showed that PD patients exhibited a diffuse slowing in their quantitative EEG in comparison to age-adjusted normal controls; Bosboom et al (2006) found that the PD was characterized by a slowing of resting-state brain activity involving theta, beta and gamma bands, and dementia in PD was associated with a further slowing of resting-state brain activity; Stoffers et al (2007) further confirmed that the slowing of oscillatory brain activity was a stable characteristic of PD without dementia. They also made clear that the widespread slowing of brain activity already occurred in the earliest clinical stages of untreated PD patients (Stoffers et al 2007).…”

Section: Introductionmentioning

confidence: 87%

Complexity of resting-state EEG activity in the patients with early-stage Parkinson’s disease

Wang

Deng

et al. 2016

Cogn Neurodyn

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To investigate the abnormal brain activities in the early stage of Parkinson's disease (PD), the electroencephalogram (EEG) signals were recorded with 20 channels from non-dementia PD patients (18 patients, 8 females) and age matched healthy controls (18 subjects, 8 females) during the resting state. Two methods based on the ordinal patterns of the recorded series, i.e., permutation entropy (PE) and order index (OI), were introduced to characterize the complexity of the cortical activities for two groups. It was observed that the resting-state EEG of PD patients showed lower PE and higher OI than healthy controls, which indicated that the early-stage PD caused the reduced complexity of EEG. We further applied two methods to determine the complexity of EEG rhythms in five sub-bands. The results showed that the gamma, beta and alpha rhythms of PD patients were characterized by lower PE and higher OI, i.e., reduced complexity, than healthy subjects. No significant differences were observed in theta or delta rhythms between two groups. The findings suggested that PE and OI were promising methods to detect the abnormal changes in the dynamics of EEG signals associated with early-stage PD. Further, such changes in EEG complexity may be the early markers of the cortical or subcortical dysfunction caused by PD.

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“…Recently, using power spectral analysis of MEG data, we found a qualitatively different pattern of slowing of background activity in demented compared to non-demented patients (Bosboom et al 2006). Whereas in PD without dementia an increase in theta and a decrease of beta power were found compared to healthy controls, in PDD an additional increase of delta relative power and a decrease of alpha band power could be demonstrated relative to the non-demented patients.…”

Section: Introductionmentioning

confidence: 90%

MEG resting state functional connectivity in Parkinson’s disease related dementia

et al. 2008

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Parkinson's disease (PD) related dementia (PDD) develops in up to 60% of patients, but the pathophysiology is far from being elucidated. Abnormalities of resting state functional connectivity have been reported in Alzheimer's disease (AD). The present study was performed to determine whether PDD is likewise characterized by changes in resting state functional connectivity. MEG recordings were obtained in 13 demented and 13 non-demented PD patients. The synchronization likelihood (SL) was calculated within and between cortical areas in six frequency bands. Compared to non-demented PD, PDD was characterized by lower fronto-temporal SL in the alpha range, lower intertemporal SL in delta, theta and alpha1 bands as well as decreased centro-parietal gamma band synchronization. In addition, higher parieto-occipital synchronization in the alpha2 and beta bands was found in PDD. The observed changes in functional connectivity are reminiscent of changes in AD, and may reflect reduced cholinergic activity and/or loss of cortico-cortical anatomical connections in PDD.

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Resting state oscillatory brain dynamics in Parkinson’s disease: An MEG study

Cited by 176 publications

References 65 publications

Enhanced frontal low and high frequency power and synchronization in the resting EEG of parkinsonian patients

Enhanced frontal low and high frequency power and synchronization in the resting EEG of parkinsonian patients

Complexity of resting-state EEG activity in the patients with early-stage Parkinson’s disease

MEG resting state functional connectivity in Parkinson’s disease related dementia

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